Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/73929
Title: | Analysis of peer-to-peer car sharing data in major Chinese cities | Authors: | Hang, Zhi Cheng | Keywords: | DRNTU::Engineering::Computer science and engineering::Software::Software engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
Issue Date: | 2018 | Abstract: | The growing population in urban cities has also led to a higher demand for car ownership. However, the increase in cars can have adverse environmental impacts and constraints on existing city infrastructures. Car sharing stands out as a possible method to maximize car use, whilst maintaining the number of cars on the road in a sustainable manner. However, research insights on peer-to-peer car sharing activities have only been largely limited to the European region. The objective of this study is to identify specific peer-to-peer car sharing utilization and travel patterns based on different time periods of a day and distance from city centres. By analysing the availability of shared cars in 4 major cities in China, namely Beijing, Shanghai, Guangzhou and Shenzhen, this study will seek to gather insights on the habits of Chinese citizens when using peer-to-peer car sharing services and to correlate them with related data points. | URI: | http://hdl.handle.net/10356/73929 | Schools: | School of Computer Science and Engineering | Organisations: | BMW-NTU Future Mobility Lab | Research Centres: | BMW@NTU Future Mobility Research Lab | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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HANG ZHI CHENG _ FYP REPORT.pdf Restricted Access | 957.05 kB | Adobe PDF | View/Open |
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